基于神经网络的多传感器信息融合及其在机器人中的应用  

Muti-sensor information fusion based on neural network and its application in mobile robots

作　　者：司兴涛[1] 张新义[1] 

机构地区：[1]山东理工大学机械工程学院,山东淄博255049

出　　处：《信息通信》2010年第2期27-29,共3页Information & Communications

摘　　要：多传感器信息融合即融合多个传感器提供的冗余、互补或更实时的信息,可以获得系统所需的更准确和更精确的信息。通过神经网络融合方法,探讨了信息融合技术在机器人方面的应用。机器人避障实验验证了所提方法的有效性。Multi-sensor information fusion technology is that fuses the information of multiple sensors gained through the use of redundant ,complementary ,or more timely information in a system can provide more reliable and accurate information.The paper develops a kind of structure of multi-sensor information fusion based on neural network and introduces main applications of the technology in robots. Experiment results verified the effectiveness of the proposed approach.

关 键 词：多传感器信息融合 神经网络 移动机器人 避障 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]